Introduction to TensorFlow in Deep learning

 

What is TensorFlow


Tensorflow algae study  Data Engineering


  • TensorFlow is Google's open-source, end-to- end machine learning framework.
  • TensorFlow can be used to create many different types of machine learning models.
  • TensorFlow is especially powerful when working with neural networks.
  • It was developed by the Google brain team, and it allows you to build state of the art machine learning applications.
  • TensorFlow is compatible with a wide range of hardware and devices.
  • TensorFlow models can be trained and deployed across a wide range of hardware, including CPUs, GPUs, and TPUs.
  • Single machines or clusters of machines can be used for training TensorFlow models.
  • TensorFlow Lite,is specifically for deploying models to mobile and embedded devices.
  • TensorFlow.js is a JavaScript library for training and deploying models in the browser and on node.js.
  • TensorFlow extended is an end-to-end platform for deploying machine learning pipelines.
  • TensorFlow extended can be used to manage machine learning pipelines throughout their entire lifecycle.

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